(Kopie 1)
Innovations developed the "Vontobel Access.relation" client management system based on Work Frame Relations, MLDS and Visual Rules.
(Kopie 2)
LGT uses different Innovations solutions for their relationship managers, anti-money laundering detection and transaction monitoring.
(Kopie 3)
DVB Bank Frankfurt integrates Compliance Modules to prevent Money Laundering and Financing of Terrorism and to monitor Employee Transactions.
(Kopie 5)
The company has been using the MLDS AML solution since 2004 for the prevention of money laundering.
(Kopie 4)
ZKB uses MLDS as the decision basis for meeting their due-diligence obligations.
(Kopie 6)
Evaluation of creditworthiness compliant to Basel II: Visual Rules helps the Volkswagen Bank to assess the probability of default for its clients.
(Kopie 7)
The Swiss Life group uses Name Matching to identify high-risk persons in the customer data base.
Mobiliar Insurance (Switzerland) has chosen the Name Matching software solution to meet its compliance requirements. The goal is to compare new customers, recipients of insurance benefits, and beneficial owners in both the life and non-life insurance areas with entries in sanction lists.
DG HYP has decided to manage its rating, scoring and LGD estimation processes using a new rating platform. Visual Rules implements all estimation processes and operationalizes them using its Credit Risk Rating Platform.
Raiffeisen uses Name Matching to compare customer names to avoid bulk risks.
Cortal Consors has been using for many years the Innovations' rule-based technology in their integrated solution for the management of marketing campaigns.
atori GmbH implemented a commission accounting system based on Visual Rules for the Swiss DZ PRIVATBANK.
With Visual Rules Business Rules Management System the Swiss Banca del Gottardo implemented a corporate-wide compliance standard.
The Swiss subsidiary of the Japanese Nomura Group relies on Innovations' MLDS for the early identification of unusual business dealings, both in the core business of securities brokerage, as well as in the private banking sector. Nomura required a system of the highest quality.
Eurex electronic trading forum uses Visual Rules for data updating of more than 20,000 securities.
GVV Versicherungen employs a new electronic process for the detection of high-risk persons. Its objective is to match the names of all insured persons, payees and employees against the EU sanction list.
Hypo Investment Bank in Liechtenstein protects customers against high-risk persons.
Rand Merchant Bank
RMB uses Visual Rules Business Rules Management System for credit risk rating.